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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 11 Dec 2013 05:07:29 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/11/t1386756497mq0xdtblp2fok2b.htm/, Retrieved Fri, 29 Mar 2024 01:08:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232040, Retrieved Fri, 29 Mar 2024 01:08:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequentietabel] [2013-12-11 10:07:29] [c68c3aee6924c33b46e27daebbe261d3] [Current]
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Dataseries X:
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48
5,48
5,48
5,48
5,5
5,55
5,57
5,58
5,58
5,58
5,59
5,59
5,59
5,55
5,61
5,61
5,61
5,63
5,69
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,71
5,74
5,77
5,79
5,79
5,8
5,8
5,8
5,8
5,8
5,81
5,81
5,83
5,94
5,98
5,99
6
6,02
6,02
6,02
6,02




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232040&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232040&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232040&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4.6,4.8[4.7110.1309520.1309520.654762
[4.8,5[4.930.0357140.1666670.178571
[5,5.2[5.110.0119050.1785710.059524
[5.2,5.4[5.3130.1547620.3333330.77381
[5.4,5.6[5.5200.2380950.5714291.190476
[5.6,5.8[5.7200.2380950.8095241.190476
[5.8,6[5.9110.1309520.9404760.654762
[6,6.2]6.150.05952410.297619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4.6,4.8[ & 4.7 & 11 & 0.130952 & 0.130952 & 0.654762 \tabularnewline
[4.8,5[ & 4.9 & 3 & 0.035714 & 0.166667 & 0.178571 \tabularnewline
[5,5.2[ & 5.1 & 1 & 0.011905 & 0.178571 & 0.059524 \tabularnewline
[5.2,5.4[ & 5.3 & 13 & 0.154762 & 0.333333 & 0.77381 \tabularnewline
[5.4,5.6[ & 5.5 & 20 & 0.238095 & 0.571429 & 1.190476 \tabularnewline
[5.6,5.8[ & 5.7 & 20 & 0.238095 & 0.809524 & 1.190476 \tabularnewline
[5.8,6[ & 5.9 & 11 & 0.130952 & 0.940476 & 0.654762 \tabularnewline
[6,6.2] & 6.1 & 5 & 0.059524 & 1 & 0.297619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232040&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][4.6,4.8[[/C][C]4.7[/C][C]11[/C][C]0.130952[/C][C]0.130952[/C][C]0.654762[/C][/ROW]
[ROW][C][4.8,5[[/C][C]4.9[/C][C]3[/C][C]0.035714[/C][C]0.166667[/C][C]0.178571[/C][/ROW]
[ROW][C][5,5.2[[/C][C]5.1[/C][C]1[/C][C]0.011905[/C][C]0.178571[/C][C]0.059524[/C][/ROW]
[ROW][C][5.2,5.4[[/C][C]5.3[/C][C]13[/C][C]0.154762[/C][C]0.333333[/C][C]0.77381[/C][/ROW]
[ROW][C][5.4,5.6[[/C][C]5.5[/C][C]20[/C][C]0.238095[/C][C]0.571429[/C][C]1.190476[/C][/ROW]
[ROW][C][5.6,5.8[[/C][C]5.7[/C][C]20[/C][C]0.238095[/C][C]0.809524[/C][C]1.190476[/C][/ROW]
[ROW][C][5.8,6[[/C][C]5.9[/C][C]11[/C][C]0.130952[/C][C]0.940476[/C][C]0.654762[/C][/ROW]
[ROW][C][6,6.2][/C][C]6.1[/C][C]5[/C][C]0.059524[/C][C]1[/C][C]0.297619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232040&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232040&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4.6,4.8[4.7110.1309520.1309520.654762
[4.8,5[4.930.0357140.1666670.178571
[5,5.2[5.110.0119050.1785710.059524
[5.2,5.4[5.3130.1547620.3333330.77381
[5.4,5.6[5.5200.2380950.5714291.190476
[5.6,5.8[5.7200.2380950.8095241.190476
[5.8,6[5.9110.1309520.9404760.654762
[6,6.2]6.150.05952410.297619



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}